Average Error: 14.5 → 0.0
Time: 6.0s
Precision: binary64
Cost: 7040
\[\left(0 \leq b \land b \leq a\right) \land a \leq 1\]
\[\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|} \]
\[{\left(1 - \frac{b}{a} \cdot \frac{b}{a}\right)}^{0.5} \]
(FPCore (a b)
 :precision binary64
 (sqrt (fabs (/ (- (* a a) (* b b)) (* a a)))))
(FPCore (a b) :precision binary64 (pow (- 1.0 (* (/ b a) (/ b a))) 0.5))
double code(double a, double b) {
	return sqrt(fabs((((a * a) - (b * b)) / (a * a))));
}
double code(double a, double b) {
	return pow((1.0 - ((b / a) * (b / a))), 0.5);
}
real(8) function code(a, b)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = sqrt(abs((((a * a) - (b * b)) / (a * a))))
end function
real(8) function code(a, b)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = (1.0d0 - ((b / a) * (b / a))) ** 0.5d0
end function
public static double code(double a, double b) {
	return Math.sqrt(Math.abs((((a * a) - (b * b)) / (a * a))));
}
public static double code(double a, double b) {
	return Math.pow((1.0 - ((b / a) * (b / a))), 0.5);
}
def code(a, b):
	return math.sqrt(math.fabs((((a * a) - (b * b)) / (a * a))))
def code(a, b):
	return math.pow((1.0 - ((b / a) * (b / a))), 0.5)
function code(a, b)
	return sqrt(abs(Float64(Float64(Float64(a * a) - Float64(b * b)) / Float64(a * a))))
end
function code(a, b)
	return Float64(1.0 - Float64(Float64(b / a) * Float64(b / a))) ^ 0.5
end
function tmp = code(a, b)
	tmp = sqrt(abs((((a * a) - (b * b)) / (a * a))));
end
function tmp = code(a, b)
	tmp = (1.0 - ((b / a) * (b / a))) ^ 0.5;
end
code[a_, b_] := N[Sqrt[N[Abs[N[(N[(N[(a * a), $MachinePrecision] - N[(b * b), $MachinePrecision]), $MachinePrecision] / N[(a * a), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
code[a_, b_] := N[Power[N[(1.0 - N[(N[(b / a), $MachinePrecision] * N[(b / a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.5], $MachinePrecision]
\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|}
{\left(1 - \frac{b}{a} \cdot \frac{b}{a}\right)}^{0.5}

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 14.5

    \[\sqrt{\left|\frac{a \cdot a - b \cdot b}{a \cdot a}\right|} \]
  2. Applied egg-rr0.0

    \[\leadsto \color{blue}{{\left(1 - {\left(\frac{b}{a}\right)}^{2}\right)}^{0.5}} \]
  3. Taylor expanded in b around 0 14.5

    \[\leadsto {\color{blue}{\left(1 + -1 \cdot \frac{{b}^{2}}{{a}^{2}}\right)}}^{0.5} \]
  4. Simplified0.0

    \[\leadsto {\color{blue}{\left(1 - \frac{b}{a} \cdot \frac{b}{a}\right)}}^{0.5} \]
    Proof
    (-.f64 1 (*.f64 (/.f64 b a) (/.f64 b a))): 0 points increase in error, 0 points decrease in error
    (-.f64 1 (Rewrite<= times-frac_binary64 (/.f64 (*.f64 b b) (*.f64 a a)))): 52 points increase in error, 0 points decrease in error
    (-.f64 1 (/.f64 (Rewrite<= unpow2_binary64 (pow.f64 b 2)) (*.f64 a a))): 0 points increase in error, 0 points decrease in error
    (-.f64 1 (/.f64 (pow.f64 b 2) (Rewrite<= unpow2_binary64 (pow.f64 a 2)))): 0 points increase in error, 0 points decrease in error
    (Rewrite<= unsub-neg_binary64 (+.f64 1 (neg.f64 (/.f64 (pow.f64 b 2) (pow.f64 a 2))))): 0 points increase in error, 0 points decrease in error
    (+.f64 1 (Rewrite<= mul-1-neg_binary64 (*.f64 -1 (/.f64 (pow.f64 b 2) (pow.f64 a 2))))): 0 points increase in error, 0 points decrease in error
  5. Final simplification0.0

    \[\leadsto {\left(1 - \frac{b}{a} \cdot \frac{b}{a}\right)}^{0.5} \]

Alternatives

Alternative 1
Error0.6
Cost6976
\[\mathsf{fma}\left(\frac{-0.5}{a}, \frac{b}{\frac{a}{b}}, 1\right) \]
Alternative 2
Error1.2
Cost64
\[1 \]

Error

Reproduce

herbie shell --seed 2022297 
(FPCore (a b)
  :name "Eccentricity of an ellipse"
  :precision binary64
  :pre (and (and (<= 0.0 b) (<= b a)) (<= a 1.0))
  (sqrt (fabs (/ (- (* a a) (* b b)) (* a a)))))